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Effect of air temperature on acute myocardial infarction incidence: a study in the centre-south region of Portugal
Session:
SESSÃO DE POSTERS 32 - DOENÇAS CARDIOVASCULARES - EAM COM SUPRADESNIVELAMENTO DO SEGMENTO ST
Speaker:
Diogo Santos Da Cunha
Congress:
CPC 2025
Topic:
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
Theme:
13. Acute Coronary Syndromes
Subtheme:
13.2 Acute Coronary Syndromes – Epidemiology, Prognosis, Outcome
Session Type:
Cartazes
FP Number:
---
Authors:
Diogo Santos Da Cunha; José Costa; Oliveira Baltazar; João Mirinha Luz; Gonçalo Morgado; Nazar Ilchyshyn; Adriana Silva; Liliana Brochado; Lourenço Aguiar; Tiago Lobão; Hélder Pereira
Abstract
<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Background</span></span></strong></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Previous literature has linked acute coronary syndrome (ACS) incidence and atmospheric features. The aim of this study is to study the correlation between myocardial infarction (MI) incidence and ambient temperature in the centre-south region of Portugal, a temperate climate.</span></span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Methods</span></span></strong></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">A retrospective cohort study of 1880 patients (949 NSTEMI, 939 STEMI) was conducted from January 1 of 2017 to December 31 of 2021 in a region with a Mediterranean temperate climate characterized by hot summers and mild winters. Daily data of air temperature derived from a single station of a government-led institute. Patients were selected from a hospital database that included all patients referred for coronary angiography because of suspected MI. The date of symptom onset was recorded for every patient and merged with the data on daily air temperature. Analysis was done using Poisson regression models.</span></span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Results</span></span></strong></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Decreasing maximum air temperature was associated with an increase in both types of MI incidence, with the STEMI group having the strongest association (1 °C decrease in maximum air temperature leading to a 2,9% increase in incidence rate - IRR, 0,971; 95% CI, 0,957-0,986; p</span></span><em><span style="font-size:12.0pt"><span style="font-family:"Cambria Math",serif"><</span></span></em><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">.001). On lagged analysis (for days </span></span><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">1, 3, 5, and 7</span></span><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">), the same negative association was seen between mean and maximum air temperature and total MI, STEMI and NSTEMI.</span></span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:12.0pt"><span style="font-family:"Arial",sans-serif">Conclusions</span></span></strong></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style="background-color:white"><span style="font-family:"Arial",sans-serif"><span style="color:black">We concluded that in the center-south region of Portugal, there is a positive association between the decrease in maximum temperature and the increase of MI. That relationship remains present on lagged analysis, also for mean temperature.</span></span></span></span></span></span></p> <p> </p>
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